Instructions to use acmc/summarizer_google_long-t5-local-base_base_unfaceted with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use acmc/summarizer_google_long-t5-local-base_base_unfaceted with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("acmc/summarizer_google_long-t5-local-base_base_unfaceted") model = AutoModelForSeq2SeqLM.from_pretrained("acmc/summarizer_google_long-t5-local-base_base_unfaceted", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 300
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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